Intelligent automatic sorting system based on multi-modal image recognition for network marketing

Abstract

The invention relates to a multi-modal image recognition-based intelligent automatic sorting system for network marketing, which is characterized in that multi-dimensional image data of articles are acquired in real time through an image acquisition module, and the articles are classified and recognized by using a deep learning algorithm of an image processing and recognition module. Meanwhile, the dynamic optimization control module adjusts the sorting path and the action of the sorting execution mechanism in real time according to the flow and the size of the articles, and efficient and accurate sorting operation is ensured. And the sorting execution mechanism realizes simultaneous treatment of a plurality of articles through the design of multiple mechanical arms, so that the sorting speed is greatly improved. A real-time operation interface is provided through the display and monitoring module, remote control and monitoring are supported, and integration of the industrial Internet of Things module ensures data uploading and remote management. According to the method, the sorting precision and efficiency can be improved, high intelligence and self-learning ability are achieved, and complex and changeable production requirements can be met.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic sorting, and in particular to an intelligent automatic sorting system based on multimodal image recognition for network marketing. Background Art

[0002] In the context of increasingly complex online marketing, the application of sorting equipment faces unprecedented challenges. Most of the existing sorting equipment in online marketing still relies on preset fixed rules and relatively simple sensor systems. However, this traditional sorting model often fails to achieve the dual standards of high precision and high efficiency when faced with complex and changing network environments and diverse customer needs.

[0003] With the continuous innovation and development of artificial intelligence technology and industrial Internet of Things, new opportunities have been provided for the application of sorting equipment in online marketing. Specifically, by introducing multimodal image recognition technology, dynamic optimization algorithms and intelligent operation interfaces, sorting equipment has achieved significant improvements in recognition accuracy, processing speed and user experience. The integrated application of these technologies not only improves the automation level of sorting equipment, but also greatly enhances its ability to cope with complex online marketing environments.

[0004] However, despite the above progress, traditional sorting equipment still has a lot of room for improvement when combined with online marketing for practical application. In particular, there is still room for further exploration and innovation in multimodal data fusion, algorithm optimization, and intelligent interface design. Therefore, the development of sorting equipment in the future should pay more attention to the deep integration with online marketing scenarios, and make full use of the latest achievements of artificial intelligence and industrial Internet of Things to better meet market demand, thereby promoting the continuous progress and development of the online marketing industry. Summary of the invention

[0005] In view of the above problems, the purpose of the present invention is to provide an intelligent automatic sorting system based on multimodal image recognition for online marketing. By combining multimodal image recognition, dynamic optimization algorithm, intelligent self-learning ability and efficient sorting structure, it can achieve accurate and high-speed sorting of various types of items to meet the needs of industrial production.

[0006] The technical solution adopted by the present invention is as follows:

[0007] The present invention proposes an intelligent automatic sorting system based on multimodal image recognition for network marketing, comprising a sorting platform, an image acquisition module, an image processing and recognition module, a dynamic optimization control module, a sorting execution mechanism, a display and monitoring module and an industrial Internet of Things module; the image acquisition modules are respectively arranged on the left and right sides of the top of the sorting platform; the image processing and recognition module is arranged on one side of the front end of the sorting platform and is connected to the image acquisition module; the sorting execution mechanism is arranged above the left and right sides of the sorting platform through a fixed bracket; the dynamic optimization control module is arranged at the bottom of the rear side of the fixed bracket and is connected to the image processing and recognition module; the display and monitoring module is arranged at the rear side of one side of the fixed bracket; and the industrial Internet of Things module is arranged at the bottom of the front side of the sorting platform.

[0008] Furthermore, the image acquisition module collects the color, shape and spatial data of the object in real time through the RGB camera and the depth sensor, and transmits it to the image processing and recognition module.

[0009] Furthermore, the sorting execution mechanism is a robotic arm.

[0010] Furthermore, a fault detection and predictive maintenance module is provided at the bottom of the front side of the fixed bracket; the fault detection and predictive maintenance module analyzes and predicts the equipment life in real time through sensors.

[0011] Compared with the prior art, the present invention has the following beneficial effects:

[0012] The present invention can accurately identify and classify various items, thereby improving sorting accuracy and adaptability. The dynamic optimization control module adjusts the sorting path and execution actions in real time, optimizing the sorting efficiency, especially in the sorting process of high-flow and complex items. The intelligent self-learning capability enables the system to continuously optimize the sorting strategy based on historical data, reducing manual intervention. The fault detection and predictive maintenance functions can identify potential problems in advance, reduce the risk of equipment downtime, and ensure the efficient operation of the production line. At the same time, the system's remote monitoring and industrial Internet of Things integration functions realize data analysis and remote management of the entire process, further improving the intelligence level and energy utilization efficiency of the equipment, and adapting to the needs of modern industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a side view structural diagram of an intelligent automatic sorting system based on multimodal image recognition for network marketing proposed by the present invention;

[0014] Figure 2 This is a schematic diagram of the main structure of an intelligent automatic sorting system based on multimodal image recognition for network marketing proposed by the present invention.

[0015] Among them, the figure numbers are: 1-sorting platform; 2-image acquisition module; 3-image processing and recognition module; 4-dynamic optimization control module; 5-sorting actuator; 6-fault detection and predictive maintenance module; 7-display and monitoring module; 8-industrial Internet of Things integrated module composition; 9-fixed bracket. DETAILED DESCRIPTION

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] It should be noted that, in the description of the present invention, the terms "up", "down", "top", "bottom", "one side", "the other side", "left", "right", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not mean that the device or element must have a specific orientation, be constructed and operated in a specific orientation.

[0018] See attached Figure 1 The specific structure of an embodiment of an intelligent automatic sorting system based on multimodal image recognition for network marketing proposed by the present invention is given. The device includes a sorting platform 1, an image acquisition module 2, an image processing and recognition module 3, a dynamic optimization control module 4, a sorting actuator 5, a display and monitoring module 7 and an industrial Internet of Things module 8.

[0019] The image acquisition modules 2 are evenly distributed on the left and right sides of the top of the sorting platform 1 along the length direction of the sorting platform 1; the image acquisition module 2 collects the color, shape and spatial data of the object in real time through an RGB camera and a multimodal depth sensor, and transmits it to the image processing and recognition module 3.

[0020] The image processing and recognition module 3 is arranged on the front side of the sorting platform 1 and is connected to the image acquisition module 2 through a high-speed data transmission interface (such as USB, Ethernet or serial communication); the image processing and recognition module 3 uses a deep learning algorithm to preprocess, extract features and classify data, and transmits the recognition results to the dynamic optimization control module 4.

[0021] The sorting actuator 5 is respectively arranged above the left and right sides of the sorting platform 1 through a fixed bracket 9; the dynamic optimization control module 4 is arranged at the bottom of the rear side of the fixed bracket 9 on one side and is connected to the image processing and recognition module 3. The dynamic optimization control module 4 can adopt an embedded processor or a central control unit (such as a PLC or an industrial computer); in this embodiment, a fault detection and predictive maintenance module 6 is also arranged at the bottom of the front side of the fixed bracket; the dynamic optimization control module 4 plans the sorting path according to the item category and sorting priority, generates control instructions, and adjusts the action of the sorting actuator 5. The sorting actuator 5 (mechanical arm) accurately performs the item grabbing or pushing operation and sends the item to the corresponding channel; at the same time, the equipment status is monitored by the fault detection and predictive maintenance module 6, and the fault detection and predictive maintenance module 6 analyzes and predicts the equipment life in real time through sensors to avoid unexpected downtime.

[0022] The display and monitoring module 7 is arranged at the rear side of the fixed bracket 9 on one side; the industrial Internet of Things module 8 is arranged at the front bottom of the sorting platform 1; the display and monitoring module 7 provides a real-time operation interface, and the industrial Internet of Things module 8 uploads sorting data to realize remote monitoring and optimization management. The entire implementation process is intelligently coordinated to ensure efficient, accurate and stable sorting operation.

[0023] Matters not covered in the present invention are all known technologies.

[0024] The embodiments described above are merely descriptions of preferred implementation modes of the present invention, and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. An intelligent automatic sorting system based on multimodal image recognition for online marketing, characterized by: The system includes a sorting platform, an image acquisition module, an image processing and recognition module, a dynamic optimization control module, a sorting execution mechanism, a display and monitoring module and an industrial Internet of Things module; the image acquisition modules are respectively arranged on the left and right sides of the top of the sorting platform; the image processing and recognition module is arranged on one side of the front end of the sorting platform and connected to the image acquisition module; the sorting execution mechanism is arranged above the left and right sides of the sorting platform through a fixed bracket; The dynamic optimization control module is arranged at the bottom of the rear side of the fixed bracket and is respectively connected to the image processing and recognition module and the sorting actuator; the display and monitoring module is arranged at the rear side of one side fixed bracket; and the industrial Internet of Things module is arranged at the bottom of the front side of the sorting platform.

2. The intelligent automatic sorting system based on multimodal image recognition for network marketing according to claim 1, characterized in that: The image acquisition module collects the color, shape and spatial data of the object in real time through the RGB camera and the depth sensor, and transmits it to the image processing and recognition module.

3. The intelligent automatic sorting system based on multimodal image recognition for network marketing according to claim 1, characterized in that: The sorting execution mechanism is a mechanical arm.

4. The intelligent automatic sorting system based on multimodal image recognition for network marketing according to claim 1, characterized in that: A fault detection and predictive maintenance module is provided at the bottom of the front side of the fixed bracket; the fault detection and predictive maintenance module uses sensors to analyze and predict the life of the equipment in real time.

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